306 citations · 2.2k across the 100 of their papers we have counts for
4 papers · 1 filter
Belief Propagation for Structured Decision Making
Qiang Liu, Alexander T. Ihler
Variational inference algorithms such as belief propagation have had tremendous impact on our ability to learn and use graphical models, and give many insights for developing or un…
Distributed Parameter Estimation via Pseudo-likelihood
Qiang Liu, Alexander Ihler
Estimating statistical models within sensor networks requires distributed algorithms, in which both data and computation are distributed across the nodes of the network. We propose…
Negative Tree Reweighted Belief Propagation
Qiang Liu, Alexander T. Ihler
We introduce a new class of lower bounds on the log partition function of a Markov random field which makes use of a reversed Jensen's inequality. In particular, our method approxi…
Variational Algorithms for Marginal MAP
Qiang Liu, Alexander T. Ihler
Marginal MAP problems are notoriously difficult tasks for graphical models. We derive a general variational framework for solving marginal MAP problems, in which we apply analogues…